Skip to main content

Simple iterative receivers for MIMO LP-OFDM systems

Récepteur Itératif Simple pour Systèmes Mimo-Ofdm et à Précodage Linéaire

Abstract

In this paper,Lp-ofdm is combined with differentMimo schemes in order to improve performance in terms of diversity gain and to exploit capacity brought by theMimo channel. The original contribution is the development of a generic iterative receiver designed forLp mimo transmission able to work whatever the antenna configuration and the spatial coding scheme. By using a globalMmse criterion, interference terms coming from space-time coding and linear precoding are jointly treated leading to a very good trade-off between performance and complexity compared to trellis based detectors particularly for high order modulations, high number of antennas and/or large size of precoding matrices.

Résumé

Dans cet article, le précodage linéaire est associé à différents schémas multi-antennes dans un contexteOfdm afin d’améliorer les performances en termes d’exploitation de diversité et de capacité offertes par les canaux multi-antennes. La contribution originale est de proposer un récepteur itératif générique pour schémasLp-mimo pouvant s’adapter à n’importe quelle configuration d’antennes et de codage spatio-temporel. Les termes d’interférence qui proviennent du précodage linéaire et du codage spatio-temporel sont traités conjointement en utilisant un critère de minimisation de l’erreur quadratique moyenne globale. Le récepteur obtenu permet d’obtenir un très bon compromis entre les performances et la complexité de mise en ?uvre comparé à des détecteurs à base de treillis en particulier pour les modulations à nombre d’états élevé, des systèmes à plusieurs antennes d’émission et de réception et/ou des grandes tailles de matrice de précodage.

This is a preview of subscription content, access via your institution.

References

  1. [1]

    Telatar (E.), Capacity of multi-antenna gaussian channel,Bell Labs. Tech. Memo., June 1995.

  2. [2]

    Foschini (G. J.), Gans (M. J.), On limits of wireless communications in a fading environment when using multiple antenna,Wireless Pers. Commun.,6, pp. 311–335, Mar. 1998.

    Article  Google Scholar 

  3. [3]

    Foschini (G.J.), Layered space-time architecture for wireless communication in a fading environment when using multi element antennas,Bell Syst. Tech. Journal,1, pp. 41–59, Oct. 1996.

    Article  Google Scholar 

  4. [4]

    Alamouti (S.M.), A simple transmit diversity technique for wireless communications,Ieee J. Select. Areas Commun.,16, no 8, pp. 1451–1458, Oct. 1998.

    Article  Google Scholar 

  5. [5]

    Tarokh (V.), Jafarkhani (H.), Calderbank (R.), Space-time block coding for wireless communications: Performance results,Ieee J. Select. Areas Commun., 17, no. 3, pp. 451–460, Mar. 1999.

    Article  Google Scholar 

  6. [6]

    Hassibi (B.), Hochwald (B. M.), High-rate codes that are linear in space and time,Ieee Trans. Inform. Theory, 48, no 7, pp. 1804–1824, July 2002.

    MathSciNet  MATH  Article  Google Scholar 

  7. [7]

    Boutros (J. J.), Viterbo (E.), Signal space diversity: a power and bandwidth efficient diversity technique for the Rayleigh fading channel,Ieee Trans. Inform. Theory,44, no 4, pp. 1453–1467, July 1998.

    MathSciNet  MATH  Article  Google Scholar 

  8. [8]

    Debbah (M.), Linear precoders for OFDM wireless communications, Ph.D. dissertation, Ecole nationale Supérieure de Cachan, Oct. 2002.

  9. [9]

    Kaiser (S.), Ofdm code-division multiplexing in fading channels,Ieee Trans. Commun.,50, no 8, pp. 1266–1273, Aug. 2002.

    Article  Google Scholar 

  10. [10]

    Xin (Y.),Wang (Z.),Giannakis (G. B.), Space-time diversity systems based on unitary constellation-rotating precoders, in Proceedings ofAs-spcc’00, Lake Louise, Canada, Oct. 2000.

  11. [11]

    le Nir (V.), Helard (M.), Reduced-complexity space-time block coding and decoding schemes with block linear precoding,Iee Elec. Letters,39, no 14, pp. 1066–1068, July 2003.

    Article  Google Scholar 

  12. [12]

    Le Nir (V.),Auffray (J.-M.),Helard (M.),Helard (J.-F.),Le Gouable (R.), Combination of space-time block coding withMc-cdma technique forMimo systems with two, three and four antennas, inIst Summit ′03, Aveiro, Portugal, June 2003.

  13. [13]

    Damen (M. O.), Beaulieu (N.C.), On diagonal algebraic space-time block codes,Ieee Trans. Inform. Theory,51, no 6, pp. 911–919, June 2003.

    Google Scholar 

  14. [14]

    Ma (X.), Giannakis (G.B.), Full-diversity full-rate complex-field space-time coding,Ieee Trans. Signal Processing,51, no 11, pp. 2917–2930, 2003.

    MathSciNet  Article  Google Scholar 

  15. [15]

    Douillard (C),Picart (A.),Didier (P.),Jezequel (M.),Berrou (C),Glavieux (A.), Iterative correction of intersymbol interference: Turbo-equalization,Eur. Trans. Telecommunications,6, no 5, Sept. 1995.

  16. [16]

    Wang (Z.), Zhou (S.), Giannakis (G.B.), Joint coding-precoding with low-complexity turbo-decoding,Ieee Trans. Commun.,3, no 3, pp. 832–842, May 2004.

    Google Scholar 

  17. [17]

    Tonello (A. M.), Space-time bit-interleaved coded modulation with an iterative decoding strategy, in Proceedings ofVtc Fall’00, Boston,Usa, pp. 473–478, Sept.2000.

  18. [18]

    Boutros (J J.),Gresset (N.),Brunel (L.), Turbo coding and decoding for multiple antenna channels, in Proceedings ofIstc’03, Brest, France, Sept. 2003.

  19. [19]

    Sellathurai (M.), Haykin (S.), Turbo-blast for wireless communications: theory and experiments,Ieee Trans. Signal Processing,50, no 10, pp. 2538–2546, Oct. 2002.

    Article  Google Scholar 

  20. [20]

    Bouvet (P.-J.),Helard (M.),Le Nir (V.), Low complexity iterative receiver for non-orthogonal space-time block code with channel coding, in Proceedings ofVtc Fall ’04, Los Angeles,Usa, Sept. 2004.

  21. [21]

    Bouvet (P.-J.),Helard (M.), Efficient iterative receiver for spatial multiplexedOfdm system over time and frequency selective channels,in Proceedings of World Wireless Conference 2005, San Francisco Bay area,Usa, May 2005.

  22. [22]

    Witzke (M.), Linear and widely linear filtering applied to iterative detection of generalizedMimo signals,Annals of Telecommunications,60, no 1–2, pp. 147–168, January–February 2005.

    Google Scholar 

  23. [23]

    Bouvet (P.-J.),Le Nir (V.),Helard (M.), Low complexity iterative receiver for linear precodedOfdm”, in Proceedings ofWimob’05, Montreal, Canada, Aug. 2005.

  24. [24]

    Le Masson (J.),Langlais (C),Berrou (C), Linear precoding with low complexityMmse turbo-equalization and application to the wirelessLan system, in Proceedings ofIcc’05, Seoul, Korea, May 2005.

  25. [25]

    Reynolds (D.), Wang (X.), Low complexity turbo-equalization for diversity channels,Signal Processing,85, no 5, pp. 989–995, May 2001.

    Article  Google Scholar 

  26. [26]

    Tüchler (M.), Koetter (R.), Singer (A. C.), Minimum mean squared error equalization usinga priori information,Ieee Trans. Signal Processing,50, no 3, pp. 673–683, Mar. 2002.

    Article  Google Scholar 

  27. [27]

    Laot (C),Le Bidan (R.)Leroux (D.), Low complexity linear turbo equalization: A possible solution forEdge,Ieee Trans. Wireless. Commun.,4, no 3, May 2005.

  28. [28]

    Bouvet (P.-J.),Helard (M.),Le Nir (V.), Low complexity iterative receiver for linear precodedMimo systems,in Proceedings of isssta′04, Sydney, Australia, Aug. 2004.

  29. [29]

    Omori (H.), Asai (T.), Matsumoto (T.), A matched filter approximation for sc/mmse iterative equalizers,Ieee Commun. Lett.,5, pp. 310–312, 2001.

    Article  Google Scholar 

  30. [30]

    Xin (Y.),Wang (Z.),Giannakis (G. B.), Space-time constellation-rotating codes maximizing diversity and coding gains, in Proceedings ofGlobecom′01, San Antonio, Texas, Nov. 2001.

  31. [31]

    Shannon (C. E.), Communication in the presence of noise,Ire Trans. Inform. Theory,37, pp. 10–21, 1949.

    MathSciNet  Google Scholar 

  32. [32]

    Bahl (L.), Cocke (J.), Jelineck (F.), Raviv (J.), Optimal decoding of linear codes for minimizing symbol error rate,Ieee Trans. Inform. Theory,20, no 3, pp. 284–287, Mar. 1974.

    MATH  Article  Google Scholar 

  33. [33]

    Berrou (C),Adde (P.),Angui (E.),Faudeil (S.), A low complexity soft-output Viterbi decoder architecture, in Proceedings ofIcc′93, Geneva, Switzerland, May 1993, pp. 737–740.

Download references

Author information

Affiliations

Authors

Additional information

Most of results presented in this paper have been obtained during the PhD thesis of P.-J. Bouvet and V. Le Nir at France Telecom R&D.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Bouvet, PJ., Hélard, M. & Le Nir, V. Simple iterative receivers for MIMO LP-OFDM systems. Ann. Télécommun. 61, 578–601 (2006). https://doi.org/10.1007/BF03219924

Download citation

Key words

  • Radiocommunication
  • Space diversity
  • Ofdm
  • Jeu signal
  • Itération
  • Transformation linéaire
  • Récepteur
  • Simulation

Mots clés

  • Radiocommunication
  • Diversité spatiale
  • Ofdm
  • Constellation signal
  • Itération
  • Linear transformation
  • Receiver
  • Simulation